• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (22): 174-182.doi: 10.3901/JME.2019.22.174

• 主动安全控制技术 • 上一篇    下一篇

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四轮独立驱动汽车驱动系统故障诊断与容错控制

周洪亮, 贾凤娇, 刘志远, 刘海峰   

  1. 哈尔滨工业大学控制科学与工程系 哈尔滨 150080
  • 收稿日期:2019-08-26 修回日期:2019-11-07 出版日期:2019-11-20 发布日期:2020-02-29
  • 作者简介:周洪亮,男,1981年出生,博士。主要研究方向为非线性预测控制理论、汽车主动安全控制方法。E-mail:zhouhongliang@hit.edu.cn;贾凤娇,女,1989年出生,博士研究生。主要研究方向为轮毂驱动电动汽车牵引力及横摆控制方法。E-mail:jiafengjiao@stu.hit.edu.cn;刘志远,男,1957年出生,教授。主要研究方向为汽车主动安全控制、智能汽车控制理论与方法。E-mail:liuzy_hit@hit.edu.cn;刘海峰,男,1977年出生,讲师。主要研究方向为汽车电子控制技术,嵌入式系统开发技术。E-mail:seawind@hit.edu.cn
  • 基金资助:
    国家自然科学基金(61790562)和中国汽车产业创新发展联合基金(U1564207)资助项目。

Fault Diagnosis and Fault-tolerant Control Method for In-wheel Motor Electric Vehicles

ZHOU Hongliang, JIA Fengjiao, LIU Zhiyuan, LIU Haifeng   

  1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150080
  • Received:2019-08-26 Revised:2019-11-07 Online:2019-11-20 Published:2020-02-29

摘要: 针对四轮独立驱动电动汽车驱动系统故障的危险工况,给出一种基于车载传感器信号和无迹卡尔曼滤波器的故障诊断方法。进而,针对在车辆驱动系统部分电机故障情况下,在低附着系数路面上横摆稳定控制中,仍采用跟踪期望横摆率和侧向速度的横摆控制方法会导致车辆失稳的问题,设计出一种基于障碍李雅普诺夫函数的容错控制方法,该方法通过选取障碍李雅普诺夫函数约束车辆横摆率和侧向速度,以解决现有通过跟踪横摆率和侧向速度的横摆容错控制方法仍存在失稳风险的问题。给出的故障诊断和容错控制方法,能够实时诊断车辆驱动系统电机故障,通过车轮转矩的重新分配,可使车辆较快回到稳定状态,提高汽车行驶稳定性。通过不同车轮电机故障工况的仿真,验证了所提出故障诊断与容错控制方法的有效性。

关键词: 四轮驱动, 故障诊断, 容错控制, 无迹卡尔曼滤波, 障碍李雅普诺夫函数

Abstract: The fault diagnosis and fault-tolerant control method when the drive system has a failure under the condition that electric vehicle corners is researched. Firstly, the fault diagnosis method based on unscented Kalman filter (UKF) is presented. This method can identify fault parameters of the fault model online based on the on-board sensor signals. When some motors of the drive system fail, the control method of yaw rate and lateral velocity following desired values may still lead to the instability of the vehicle. Therefore, the active fault tolerant control based on the barrier Lyapunov function is proposed. The control method can constrain the yaw rate and lateral velocity in the stable region and maintain the stability of the vehicle comparing to the desired-value-tracking control method which may still have the risk of losing stability. The proposed control method can drag the vehicle back to the stable state by redistribution the wheel torque based on the detected fault signal. At last, simulations that different wheel motors fail are done to verify the effectiveness of the controller proposed.

Key words: electric vehicle with in-wheel motors, fault diagnosis, fault-tolerant control, unscented Kalman filter, barrier Lyapunov function

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